Module 18185 (2004)
Syllabus page 2004/2005
John Barnden (coordinator)
The Module Description is a strict subset of this Syllabus Page. (The University module description has not yet been checked against the School's.)
Changes and updates
New module for 2004/05 (replaces AI Programming A and B).
This module introduces general procedural and functional programming techniques as well as basic AI programming styles (including list manipulation and pattern matching) using the language Pop-11. More advanced techniques involving recursion, grammar, databases and the implementation of search strategies will also be introduced.
The aims of this module are to:
- introduce general procedural and functional programming techniques using the language Pop-11, assuming no prior knowledge of computer programming
- introduce basic AI programming techniques (including list manipulation, pattern matching and databases)
- improve the level of sophistication of students' programming skills
- expose students to a number of fundamental AI techniques in a practical context
|On successful completion of this module, the student should be able to:||Assessed by:|
|1||break down programming problems into component parts||In-lab tests, assessed exercises, mini-project|
|2||write simple modular programs in the language Pop-11||In-lab tests, assessed exercises, mini-project|
|3||use the Poplog development environment effectively||In-lab tests, assessed exercises, mini-project|
|4||apply and implement some classic AI programming concepts, representations and techniques, including those presented in other AI modules||In-lab tests, assessed exercises, mini-project|
|5||demonstrate relevant software engineering/software development skills including: producing a proposal, planning a program, specifying a program, testing, tracing, debugging and writing reports||Mini-project|
06-18188 (Introduction to AI), 06-18184 (AI & Cognitive Science)
1 hr lecture, 4 hrs practical programming workshops/tutorials per week
- Supplementary (where allowed): As the sessional assessment
- Assessed practical work (100%). Students who fail this module but achieve at least 30% will be allowed to resit, by means of a software mini-project. Students whose mark is below 30% will be required to repeat the module in the following academic year.
|Online tutorial material, supporting program libraries|
|Artificial Intelligence through Search||C Thornton & B du Boulay||Intellect, Oxford, 1992|
- Poplog, XVed, Pop-11, On-line documentation, compilation, simple expressions
- Data types, comments, variables, printing, assignments, arithmetic operators
- Stack and stack errors, procedures, built-in procedures
- List manipulation, pattern matching
- Conditionals, iteration
- Advanced list manipulation and pattern matching techniques
- Designing solutions to practical problems, choosing representations and datatypes, designing algorithms
- Knowledge representation
- Implementing search strategies (depth/breadth-first, heuristic functions, hillclimbing, etc.)
- Natural language processing, grammar and parsing.
- Planning and rule-based reasoning.
Last updated: 7 Jan 2005
Source file: /internal/modules/COMSCI/2004/xml/18185.xml